Technical Lead, Early Stage Supply Chain Project

Software Engineering Mountain View, CA (HQ)

About the Company:

X is Alphabet’s moonshot factory. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world’s most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.

About the Team:

We’re X’s moonshot for the global supply chain, applying AI to reduce waste, fragility, and inefficiency. We’re an agile team of experienced AI researchers, software engineers, and entrepreneurs working with visionary partners and customers around the world to ensure sustainable and reliable access to essential goods. You’ll be part of a fast-paced team that has the agility and impact of an early-stage company, while building on world-class Google AI technology.

About the Role:

You will play a pivotal role as a hands-on technical leader, entrusted with the ownership and responsibility for the technical direction and implementation of critical AI systems. This role requires a deep passion for problem-solving and experimentation, moving across the full range of applied machine learning and software engineering tasks from initial prototyping to building full-scale, robust solutions. You will contribute individually to high-impact technical work while also providing technical guidance and mentorship to other engineers.

You will serve as a critical bridge between cutting-edge AI research and real-world enterprise applications within the global supply chain domain. This is an incredibly dynamic role requiring strong cross-functional communication, organization, and planning in a loosely structured, fast-paced environment.

How you will have 10X impact:

• Set the technical direction for both research prototypes and production deliverables, driving key decisions on software architecture and features.
• Develop and deliver high-quality, production-grade AI enterprise software from ideation and architectural design to development, testing, deployment, and ongoing maintenance in complex enterprise environments.
• Build the whole solution, encompassing data acquisition, data processing pipelines, and ML modeling.
• Enhance AI reasoning by innovating on how Foundation Models are utilized, improving internal workflows, and developing/integrating specialized tools.
• Actively explore, apply, and innovate state-of-the-art LLM and machine learning techniques.
• Lead and mentor technical initiatives, guiding project execution and cultivating a strong technical capability within the team.
• Ensure responsible AI development, implementing robust safety principles, including sandboxing and traceability of self-modifications, to mitigate risks and ensure alignment with business objectives and ethical guidelines.
• Develop experiences that inspire confidence, delight, and resonate with end users, encouraging adoption and trust.
• Be an active engineer who is willing to "get your hands dirty" in the implementation of solutions.
• Balance longevity with rapid execution, working to bring prototypes to productization.

What you should have:

• MS/PhD degree or equivalent practical experience in computer science, engineering, or a related scientific or quantitative field.
• 10+ years experience conducting applied ML research and high-performance implementations of machine learning algorithms, translating research concepts into robust, production-ready systems.
• 7+ years experience designing, developing, maintaining, and releasing production-grade enterprise/business software.
• 4+ years experience as a technical…